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Record W4393116901 · doi:10.1093/sf/soae048

Left Partisanship, Corporatism, and the Reorientation of the Knowledge Economy in Advanced Capitalist Societies

2024· article· en· W4393116901 on OpenAlex
Jingjing Huo

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial Forces · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCorporatismEconomic systemPolitical sciencePolitical economyEconomicsMarket economyLawPolitics

Abstract

fetched live from OpenAlex

Abstract While the progress of the knowledge economy is inexorable, this paper argues that partisan politics and labor market institutions can affect the direction in which the knowledge economy progresses. In particular, a combination of corporatist industrial relations systems and left partisanship tends to foster greater wage restraint, and such a wage outcome tends to encourage the greater adoption of communications technology than information-processing technology in the economy. This reorientation of the knowledge economy toward communications technology, in turn, has egalitarian distributive implications. In particular, the greater adoption of communications technology reduces wage inequality across the board in lower 90–10, 50–10, as well as 90–50 wage ratios. These arguments are tested using data across 15–21 OECD countries (1970–2015).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.307
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it